Why people adopt smart transportation services: an integrated model of TAM, trust and perceived risk

ABSTRACT

Advancements in emerging technologies have brought remarkable socio-technical changes to how people communicate, Smart transportation and urban mobility have become high priority topics for city planners and policymakers as cities seek to become more desirable to citizens. However, few empirical studies have critically examined factors that affect user acceptance of Smart Transportation Services (STS) and their impact. Grounded in perceived risk and trust theory, and the Technology Acceptance Model (TAM), this paper examines the impact of users’ antecedents on the acceptance of smart transportation services. We use structural equation modeling to conduct an empirical analysis of questionnaire data collected from a sample of users in China. Results show that trust and reducing perceived security risk and perceived privacy risk can enhance users’ trust in STS. Our findings provide important practical implications for governments and service providers for improving the acceptance rate of smart transportation services in China.

KEYWORDS:

• Smart transportation services (STS)
• influencing factors
• technology acceptance model (TAM)
• urban mobility
• user intention
• structural equation modeling

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was partially supported by the National Nature Science Foundation of China (Project No. 71734002).